content-multiply

Name: content-multiply
Author: PHY041

18stars2forks

How to install content-multiply?

phy041/claude-agent-skills/content-multiply

$npx -y skills add PHY041/claude-agent-skills --skill content-multiply

Installs into the current project.

Summary

Data-driven content multiplication engine. Detects high-performing posts via engagement data, then auto-generates adapted versions for other platforms. One piece of content → 3-5 derivatives. Triggers on "multiply content", "repurpose top posts", "content multiply", "cross-post w

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SKILL.md

1	# Content Multiplication Engine
2
3	When a post crosses an engagement threshold, automatically generate adapted versions for other platforms. One insight, many formats. Data-driven, not guesswork.
4
5	---
6
7	## Why Data-Driven Repurposing Beats Calendar Repurposing
8
9	\| \| Calendar-Based Repurposing \| Content Multiplication Engine \|
10	\|---\|---\|---\|
11	\| Trigger \| Time (every Friday) \| Data (engagement threshold crossed) \|
12	\| Input \| "Review this week's content" (vague) \| Specific post with proven engagement \|
13	\| Output \| Suggestions \| Actual drafted derivatives ready to review \|
14	\| Signal \| No signal — reviews everything \| Engagement data proves the post works \|
15	\| Confidence \| Low (guessing what might work) \| High (it already worked on one platform) \|
16
17	Key insight: A Reddit comment with 30 upvotes is a proven winner. Adapting it for Twitter/LinkedIn has much higher expected value than creating new content from scratch.
18
19	---
20
21	## Engagement Thresholds
22
23	Posts crossing these thresholds trigger multiplication:
24
25	\| Platform \| Content Type \| Default Threshold \| Notes \|
26	\|----------\|-------------\|-------------------\|-------\|
27	\| Reddit \| Comment \| ≥ 15 upvotes \| Adjust based on your account size \|
28	\| Reddit \| Original post \| ≥ 25 upvotes \| \|
29	\| Twitter \| Reply \| ≥ 5 likes OR ≥ 2,000 views \| Lower for smaller accounts \|
30	\| Twitter \| Original tweet \| ≥ 10 likes OR ≥ 5,000 views \| \|
31	\| LinkedIn \| Post \| ≥ 500 impressions OR ≥ 10 reactions \| \|
32	\| XHS \| Post \| ≥ 50 saves (collections) \| XHS gold metric — saves > likes \|
33
34	Thresholds should start LOW for new accounts. Raise them as engagement grows (review monthly).
35
36	### Threshold Config (in state file)
37
38	```json
39	"thresholds": {
40	"reddit_comment_upvotes": 15,
41	"reddit_post_upvotes": 25,
42	"twitter_reply_likes": 5,
43	"twitter_reply_views": 2000,
44	"twitter_post_likes": 10,
45	"twitter_post_views": 5000,
46	"linkedin_reactions": 10,
47	"xhs_saves": 50
48	}
49	```
50
51	---
52
53	## Workflow
54
55	### Step 1: Read Engagement Data
56
57	Read `memory/analytics/engagement-log.json` and find entries that:
58	1. Cross the engagement threshold
59	2. Are NOT already processed (avoid re-processing)
60	3. Are less than 7 days old (stale content doesn't multiply well)
61
62	### Step 2: Determine Multiplication Routes
63
64	\| Source Platform \| → Target Platforms \|
65	\|----------------\|-------------------\|
66	\| Reddit comment \| Twitter, LinkedIn \|
67	\| Reddit post \| Twitter thread, LinkedIn, XHS carousel, DEV.to (if technical) \|
68	\| Twitter reply \| Reddit comment, LinkedIn insight \|
69	\| Twitter original \| LinkedIn, Reddit, XHS \|
70	\| LinkedIn post \| Twitter (compress), XHS (translate + adapt) \|
71	\| XHS post \| Twitter (English extract), LinkedIn \|
72
73	### Step 3: Generate Derivatives
74
75	#### Reddit Comment → Twitter Post
76
77	```
78	Source: Reddit comment (15+ upvotes)
79
80	Twitter version:
81	"[Extract the core insight from the comment]
82	[Reframe for Twitter audience — shorter, punchier]"
83	```
84
85	Rules:
86	- Strip Reddit-specific context
87	- Lead with the insight, not the backstory
88	- Under 280 chars for single tweet, or 3-5 tweets for thread
89
90	#### Reddit Comment → LinkedIn Post
91
92	```
93	LinkedIn version:
94	"[Professional hook — what's the business/career implication?]
95	[Expand the insight with professional context]
96	[Tie to a broader theme: productivity, AI tools, builder mindset]
97	[Soft CTA: What's your experience with X?]"
98	```
99
100	Rules:
101	- More formal tone, still personal
102	- Add "why this matters" framing
103	- Under 3000 chars, plain text only
104
105	#### Any Winner → XHS Carousel Suggestion
106
107	If a winner has enough substance for 3+ slides:
108
109	```json
110	{
111	"template": "dark",
112	"slides": [
113	{"type": "cover", "title": "[Chinese title]", "subtitle": "[Chinese subtitle]"},
114	{"type": "content", "title": "[Point 1]", "number": 1, "body": "[Details]"},
115	{"type": "list", "title": "[Key steps]", "items": ["item 1", "item 2"]},
116	{"type": "summary", "title": "总结", "points": ["takeaway 1", "takeaway 2"], "cta": "关注获取更多干货"}
117	]
118	}
119	```
120
121	→ Generate with `xhs-image-gen` skill
122
123	---
124
125	## Scheduling Rules (CRITICAL)
126
127	1. NEVER publish all derivatives on the same day. Space over 2-3 days minimum.
128	2. Stagger by platform priority:
129	- Day 0: Original platform (already posted)
130	- Day 1: Twitter — fastest audience turnover
131	- Day 2: LinkedIn — professional audience
132	- Day 3: XHS (if caro

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content-multiply

18stars2forks

View on GitHub

How to install content-multiply?

phy041/claude-agent-skills/content-multiply

$npx -y skills add PHY041/claude-agent-skills --skill content-multiply

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Content Multiplication Engine
2
3	When a post crosses an engagement threshold, automatically generate adapted versions for other platforms. One insight, many formats. Data-driven, not guesswork.
4
5	---
6
7	## Why Data-Driven Repurposing Beats Calendar Repurposing
8
9	\| \| Calendar-Based Repurposing \| Content Multiplication Engine \|
10	\|---\|---\|---\|
11	\| Trigger \| Time (every Friday) \| Data (engagement threshold crossed) \|
12	\| Input \| "Review this week's content" (vague) \| Specific post with proven engagement \|
13	\| Output \| Suggestions \| Actual drafted derivatives ready to review \|
14	\| Signal \| No signal — reviews everything \| Engagement data proves the post works \|
15	\| Confidence \| Low (guessing what might work) \| High (it already worked on one platform) \|
16
17	Key insight: A Reddit comment with 30 upvotes is a proven winner. Adapting it for Twitter/LinkedIn has much higher expected value than creating new content from scratch.
18
19	---
20
21	## Engagement Thresholds
22
23	Posts crossing these thresholds trigger multiplication:
24
25	\| Platform \| Content Type \| Default Threshold \| Notes \|
26	\|----------\|-------------\|-------------------\|-------\|
27	\| Reddit \| Comment \| ≥ 15 upvotes \| Adjust based on your account size \|
28	\| Reddit \| Original post \| ≥ 25 upvotes \| \|
29	\| Twitter \| Reply \| ≥ 5 likes OR ≥ 2,000 views \| Lower for smaller accounts \|
30	\| Twitter \| Original tweet \| ≥ 10 likes OR ≥ 5,000 views \| \|
31	\| LinkedIn \| Post \| ≥ 500 impressions OR ≥ 10 reactions \| \|
32	\| XHS \| Post \| ≥ 50 saves (collections) \| XHS gold metric — saves > likes \|
33
34	Thresholds should start LOW for new accounts. Raise them as engagement grows (review monthly).
35
36	### Threshold Config (in state file)
37
38	```json
39	"thresholds": {
40	"reddit_comment_upvotes": 15,
41	"reddit_post_upvotes": 25,
42	"twitter_reply_likes": 5,
43	"twitter_reply_views": 2000,
44	"twitter_post_likes": 10,
45	"twitter_post_views": 5000,
46	"linkedin_reactions": 10,
47	"xhs_saves": 50
48	}
49	```
50
51	---
52
53	## Workflow
54
55	### Step 1: Read Engagement Data
56
57	Read `memory/analytics/engagement-log.json` and find entries that:
58	1. Cross the engagement threshold
59	2. Are NOT already processed (avoid re-processing)
60	3. Are less than 7 days old (stale content doesn't multiply well)
61
62	### Step 2: Determine Multiplication Routes
63
64	\| Source Platform \| → Target Platforms \|
65	\|----------------\|-------------------\|
66	\| Reddit comment \| Twitter, LinkedIn \|
67	\| Reddit post \| Twitter thread, LinkedIn, XHS carousel, DEV.to (if technical) \|
68	\| Twitter reply \| Reddit comment, LinkedIn insight \|
69	\| Twitter original \| LinkedIn, Reddit, XHS \|
70	\| LinkedIn post \| Twitter (compress), XHS (translate + adapt) \|
71	\| XHS post \| Twitter (English extract), LinkedIn \|
72
73	### Step 3: Generate Derivatives
74
75	#### Reddit Comment → Twitter Post
76
77	```
78	Source: Reddit comment (15+ upvotes)
79
80	Twitter version:
81	"[Extract the core insight from the comment]
82	[Reframe for Twitter audience — shorter, punchier]"
83	```
84
85	Rules:
86	- Strip Reddit-specific context
87	- Lead with the insight, not the backstory
88	- Under 280 chars for single tweet, or 3-5 tweets for thread
89
90	#### Reddit Comment → LinkedIn Post
91
92	```
93	LinkedIn version:
94	"[Professional hook — what's the business/career implication?]
95	[Expand the insight with professional context]
96	[Tie to a broader theme: productivity, AI tools, builder mindset]
97	[Soft CTA: What's your experience with X?]"
98	```
99
100	Rules:
101	- More formal tone, still personal
102	- Add "why this matters" framing
103	- Under 3000 chars, plain text only
104
105	#### Any Winner → XHS Carousel Suggestion
106
107	If a winner has enough substance for 3+ slides:
108
109	```json
110	{
111	"template": "dark",
112	"slides": [
113	{"type": "cover", "title": "[Chinese title]", "subtitle": "[Chinese subtitle]"},
114	{"type": "content", "title": "[Point 1]", "number": 1, "body": "[Details]"},
115	{"type": "list", "title": "[Key steps]", "items": ["item 1", "item 2"]},
116	{"type": "summary", "title": "总结", "points": ["takeaway 1", "takeaway 2"], "cta": "关注获取更多干货"}
117	]
118	}
119	```
120
121	→ Generate with `xhs-image-gen` skill
122
123	---
124
125	## Scheduling Rules (CRITICAL)
126
127	1. NEVER publish all derivatives on the same day. Space over 2-3 days minimum.
128	2. Stagger by platform priority:
129	- Day 0: Original platform (already posted)
130	- Day 1: Twitter — fastest audience turnover
131	- Day 2: LinkedIn — professional audience
132	- Day 3: XHS (if caro

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